Total 5 Senior Executive data entry job vacancies in South Jakarta, South Jakarta City

Your role 

In this context, you’ll be joining as Data Engineer, and reporting to the Tech Lead. As Data Engineer you will also be assisting cross-departments such as Marketing and Sales teams. The Data Engineer will complete routine data engineer work and oversee simple to complex projects of data migration, database migration, ETL Migration, and many more.

The Senior Data Engineer will be responsible for the following activities: 

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

About the Role 

The Senior IT GRC and Data Privacy Analyst plays a crucial role in Amartha. You will be the warrior who will spearhead various IT GRC and Data Privacy programs to protect Amartha from internal and external threats, including monitoring and managing compliance with ISO 27001, POJK, PSrE, PDP, and other applicable regulations.

About the team

The Information Security team in Amartha is a group of dynamic, highly-analytical  individuals who are highly mindful in driving security and privacy by design within the various aspects of product lifecycle and engineering processes. We are the team who are highly passionate to be the security enabler of Amartha’s systems

Job Desc/What will you do

GRC Framework Development and Maintenance:

• Develop, implement, and maintain a comprehensive GRC framework that aligns with industry best practices and regulatory requirements.
• Conduct regular risk assessments to identify potential threats and vulnerabilities.
• Develop and implement risk mitigation strategies and action plans.
• Monitor and report on compliance with internal policies and external regulations.

Data Privacy Compliance:

• Ensure compliance with applicable data privacy regulations and data protection laws.
• Conduct data privacy impact assessments (DPIAs) for new projects or initiatives.
• Develop and implement data privacy policies and procedures.
• Manage data breaches and incidents, including notification processes and remediation activities.

Vendor Management:

• Assess the security and privacy practices of third-party vendors and suppliers.
• Negotiate and manage vendor contracts to ensure compliance with security and privacy requirements.

Regulatory Compliance:

• Stay up-to-date with evolving regulatory requirements and industry best practices.
• Provide guidance and support to the organization in meeting compliance obligations.

Identity and Access Management (IAM):

• Develop and maintain IAM policies, standards, and procedures.
• Implement and manage IAM systems and tools (e.g., identity provisioning, access control, single sign-on).
• Ensure the effective administration of user accounts and privileges.
• Conduct regular IAM audits and reviews to identify and address security gaps.
• Manage access certifications and segregation of duties controls.

Requirements

• 5+ years of related job experience
• Strong analytical and interpersonal skills
• Excellent communication both in written and spoken (English)
• Ability to express information clearly at different organizational levels
• Strong understanding of industry standards such as ISO 27001, NIST Cybersecurity Framework, GDPR, UU PDP
• Experience in the financial services industry (esp. Microfinance, Payments, etc)
• Having relevant certification are preferable (e.g.  CRISC, CIPP, etc)
• Experience with IAM technologies and frameworks (e.
• g., Active Directory, LDAP, OAuth, SAML)

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Senior Data Analyst (Risk), you will be at the intersection of our Business and Data in Funding Societies, working primarily with our Risk and Credit teams.

We are looking for a candidate with a strong sense of ownership, a deep appreciation of data and fundamental understanding of end-to-end analytics functions. As long as you are adding value to the business, you are your own boss. The way we work doesn’t suit everyone. But if you are humble, love autonomy and enjoy life changing professional challenges, we could be perfect for each other.

What you will do:

• Collaborate with cross-functional and cross-regional stakeholders to understand business drivers, formulate and complete end-to-end analytics solution.
• Design, develop and maintain self-service reports, dashboards and analysis on interactive BI tools for easier data visualization
• Contribute in collection, processing and modelling of financial data using SQL from complex databases to integrate into data warehouse that can be used for reporting/analysis and to give recommendations and drive decision making
• Deliver effective presentations of findings and recommendations to different audiences, creating visual displays of quantitative information that drives financial decisions in the business
• Find innovative and creative ways to obtain and drill insights from new financial data

What we are looking for:

• Minimum 3 years experience in credit risk / risk management / data analytics.
• Passionate in analysing and interpreting data patterns to drive business decisions, understanding Data Warehousing and ETL would be a plus!
• Highly proficient in SQL / Python and business intelligence tools (e.g. Tableau, Sisense, PowerBI).
• Excellent communication, project management, and stakeholder management skills in order to collaborate confidently with decision makers across different regions and departments.
• CFA / FRM / Chartered Banker would be an added advantage.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

What you’ll do:  

As an Analyst, you will participate in laying the groundwork and contribute to day-to-day reporting needs for client marketing efforts.  You will be assigned to Media analytics projects for data analysis and reporting for a client brand.

Day-to-day, your role includes:

• Keeping a pulse on daily, weekly and monthly performance data from data analytics platforms
• Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
• Participating in brainstorms to identify nuances in data to optimize our clients’ business
• Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
• Expanding industry knowledge and relevant skillsets through scheduled internal training
• Participating in ad hoc requests from accounts handled such as root-cause analysis, reporting, data analysis and more.

Moladin is Indonesia's leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years. As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. Please refer to our website at https://moladin.com/en/ for more information.

Responsibilities

• Lead data analysis projects from inception to completion, including data collection, cleansing, processing, and analysis.
• Develop and refine pricing models and algorithms to optimize pricing decisions.
• Develop predictive models and algorithms to support business forecasting, optimization, and decision-making processes.
• Collaborate closely with cross-functional teams, including Operations, Strategy, Business, Product and Engineering, to understand the business requirements and translate them into actionable insights.
• Design and develop data visualizations, dashboards, and reports to communicate findings and recommendations effectively to stakeholders.
• Stay current with industry trends, emerging technologies, and best practices in data analysis and data science, and contribute to continuous improvement initiatives within the team.
• Apply advanced statistical techniques and algorithms to identify patterns, trends, and correlations in large datasets.

• Minimum 4 years of experience with data analysis, business intelligence, or data science roles, preferably a fast-paced environment in a FinTech firm.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• Previous experience in working along with the Pricing teams is preferred, in the automotive industry.
• Understanding of the used car market, pricing dynamics, and customer behavior in the automotive industry is a plus.
• Proficiency in SQL, Github, and Python, or other programming languages for data analysis and statistical modeling.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib or seaborn is good to have.
• Strong analytical and problem-solving skills, with the ability to think critically and independently.
• Excellent communication and interpersonal skills, with the ability to present technical concepts to non-technical stakeholders.
• Proven track record of delivering high-quality analysis and actionable insights that drive business impact.
• Experience working with large datasets, structured and unstructured data, and data preprocessing techniques.
• Familiarity with basic machine learning techniques such as regression, classification, clustering, and time series analysis.